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ICDM
2007
IEEE
173views Data Mining» more  ICDM 2007»
14 years 1 months ago
Sparse Word Graphs: A Scalable Algorithm for Capturing Word Correlations in Topic Models
Statistical topic models such as the Latent Dirichlet Allocation (LDA) have emerged as an attractive framework to model, visualize and summarize large document collections in a co...
Ramesh Nallapati, Amr Ahmed, William W. Cohen, Eri...
ECCV
2010
Springer
13 years 9 months ago
Image Segmentation with Topic Random Field
Abstract. Recently, there has been increasing interests in applying aspect models (e.g., PLSA and LDA) in image segmentation. However, these models ignore spatial relationships amo...
ICCV
2009
IEEE
6637views Computer Vision» more  ICCV 2009»
15 years 17 hour ago
A Markov Clustering Topic Model for Mining Behaviour in Video
This paper addresses the problem of fully automated mining of public space video data. A novel Markov Clustering Topic Model (MCTM) is introduced which builds on existing Dynami...
Timothy Hospedales, Shaogang Gong, Tao Xiang
CHI
2002
ACM
14 years 7 months ago
Polyarchy visualization: visualizing multiple intersecting hierarchies
Hierarchy visualization has been a hot topic in the Information Visualization community for the last decade. An emerging new information structure is multiple intersecting hierarc...
George G. Robertson, Kim Cameron, Mary Czerwinski,...
KDD
2008
ACM
184views Data Mining» more  KDD 2008»
14 years 7 months ago
Joint latent topic models for text and citations
In this work, we address the problem of joint modeling of text and citations in the topic modeling framework. We present two different models called the Pairwise-Link-LDA and the ...
Ramesh Nallapati, Amr Ahmed, Eric P. Xing, William...